Major challenges emerge in efforts towards the global sustainable development of our oceans. However, systematic exploration of the mechanisms through which artificial intelligence (AI) influences marine green development remains scarce. This study develops an integrated technology-capability-context framework to examine how AI influences marine green development and its boundary conditions. Drawing on panel data from 11 coastal provinces in China over the period 2011−2023, this study employs two-way fixed effects models with Driscoll-Kraay standard errors for baseline estimation, Bootstrap mediation tests to identify transmission channels, moderation analysis to examine the enabling role of marine green finance, and AI-related online search attention as an instrumental variable to address endogeneity. Results reveal a significantly positive association: a one-standard-deviation increase in the AI index increases the Marine Green Development Index (MGDI) by 0.233–0.297 standard deviations. Mechanism analysis reveals two pathways—enhancing marine research and innovation and strengthening digital government capacity—with indirect effects accounting for 26.3% and 17.7% of the total effect (0.712), jointly contributing 44.0%. Moderation analysis demonstrates that marine green finance exerts a positive moderating effect, with a significant interaction coefficient of 0.461. Heterogeneity analysis shows that the promoting effect of AI is more pronounced in regions with a lower share of marine secondary industry output (coefficient 0.338) and insignificant in regions with a higher share. These conclusions remain robust after multiple robustness checks and endogeneity treatments. By uncovering the intrinsic mechanisms through which AI drives marine green development from a capability transformation perspective, this study extends interdisciplinary research at the intersection of AI and sustainable development. It provides empirical evidence and policy insights for coastal regions and maritime nations globally to coordinate AI strategies, optimise green financial instruments, strengthen marine science and technology research, and enhance digital governance capacity.
Li et al. (Wed,) studied this question.